کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4956504 | 1444522 | 2017 | 42 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance evaluation of cloud-based log file analysis with Apache Hadoop and Apache Spark
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
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چکیده انگلیسی
Log files are generated in many different formats by a plethora of devices and software. The proper analysis of these files can lead to useful information about various aspects of each system. Cloud computing appears to be suitable for this type of analysis, as it is capable to manage the high production rate, the large size and the diversity of log files. In this paper we investigated log file analysis with the cloud computational frameworks Apacheâ¢Hadoop® and Apache Sparkâ¢. We developed realistic log file analysis applications in both frameworks and we performed SQL-type queries in real Apache Web Server log files. Various experiments were performed with different parameters in order to study and compare the performance of the two frameworks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 125, March 2017, Pages 133-151
Journal: Journal of Systems and Software - Volume 125, March 2017, Pages 133-151
نویسندگان
Ilias Mavridis, Helen Karatza,